Essays about: "binary tumour classification"

Showing result 1 - 5 of 6 essays containing the words binary tumour classification.

1. 1. A Machine Learning Approach to Skin Cancer Delineation on Photoacoustic Imaging

   University essay from Lunds universitet/Fysiska institutionen; Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation

   Author : Alice Fracchia; [2023]
   Keywords : Skin cancer; carcinoma; photoacoustic imaging; ultrasound imaging; machine learning; dimensionality reduction; sandpiles algorithm; active contour; multilayer perception MLP ; convolutional neural networks CNN ; autoencoder; Physics and Astronomy;

   Abstract : Skin cancer is a growing public health concern due to its prevalence among the population. Current clinical procedures require high invasiveness and multiple surgeries, which are responsible for patient discomfort and high medical expenses. READ MORE

3. 2. A comparison between fully-supervised and self-supervised deep learning methods for tumour classification in digital pathology data

   University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Author : Elsa Jonsson; [2022]
   Keywords : AI; machine learning; digital pathology data; binary tumour classification;

   Abstract : Whole Slide Images (WSIs) are digital scans containing rich pathology information. There are many available WSI datasets that can be used for a wide range of purposes such as diagnostic tasks and analysis, but the availability of labeled WSI datasets is very limited since the annotation process is both very costly and time consuming. READ MORE

4. 3. Natural Language Processing for Patient Data in Clinical Decision Support Systems

   University essay from Lunds universitet/Avdelningen för Biomedicinsk teknik

   Author : Amanda Nilsson; Lina Samnegård; [2021]
   Keywords : Natural language processing; Machine learning; Prostate cancer; Named entity recognition; BERT; Technology and Engineering;

   Abstract : In Sweden, prostate cancer is the most common type of cancer among men. The care need within prostate cancer will get higher as the population increases and gets older. With this in mind, there is a need to streamline the care pathway. One way to do this is with a clinical decision support system. READ MORE

5. 4. Supervised Learning for Prediction of Tumour Mutational Burden

   University essay from KTH/Matematisk statistik

   Author : Joanna Hargell; [2021]
   Keywords : Supervised Learning; Tumour Mutational Burden; Generalized Linear Models; Decision trees; Support Vector Machines; statistik; tillämpad matematik; statistisk inlärning; mutationsbörda;

   Abstract : Tumour Mutational Burden is a promising biomarker to predict response to immunotherapy. In this thesis, statistical methods of supervised learning were used to predict TMB: GLM, Decision Trees and SVM. READ MORE

6. 5. Segmentation and Prediction of Mutation Status of Malignant Melanoma Whole-slide Images using Deep Learning

   University essay from Lunds universitet/Avdelningen för Biomedicinsk teknik

   Author : Elin Johansson; Fanny Månefjord; [2021]
   Keywords : deep learning; image analysis; malignant melanoma; tissue segmentation; mutation classification; Inception v3; Technology and Engineering;

   Abstract : Malignant melanoma is an aggressive type of skin cancer. Gene mutations can make the disease progress faster, but specialised treatment exists. Today, gene mutations are detected with DNA-analysis which is costly and time-consuming. READ MORE